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The Glossary Test is a binary measurement for terminology quality: if a term requires a glossary to be understood by a non-specialist, it fails. If the term carries its meaning through metaphor, experience, or plain language, it passes. The test does not measure precision - a term can be technically precise and still fail the test, because precision and accessibility are independent dimensions. Query Fan-Out is precise. It fails the test. Cascading Queries is equally precise. It passes. The Glossary Test identifies whether a term was named for the speaker (to signal expertise) or for the listener (to create understanding).

Readability metrics from Flesch-Kincaid to the Gunning Fog Index measure sentence complexity, but no established framework measures whether individual terms carry their meaning without specialist knowledge. Jason Barnard's Glossary Test (2026) fills that gap with a binary measurement: if a term requires a glossary to be understood by a non-specialist, it was named for the speaker; if it carries its meaning through metaphor or plain language, it was named for the listener. The test echoes the elegance of Alan Turing's 1950 test in reducing a complex quality assessment to a single yes-or-no question that anyone can apply. Where the Turing Test asks whether a machine can pass for human, the Glossary Test asks whether a term can pass without explanation. It serves as the measurement instrument for Jason Barnard's Naming for the Listener methodology and is self-referential by design: "The Glossary Test" immediately communicates what it measures, passing its own test.